Every kind of data, one memory, put to work
Miriel connects to the places information already lives, understands what arrives — including live streams, as they happen — and keeps it in one secure memory that people and AI agents can ask questions of and act on.
// any source → understand · remember · protect → answer · act · automate · build
Every kind of data, from where it already lives
120+ connectors for the systems organizations already use pull data in — and do real work in those systems too: drafting and sending, posting, scheduling and updating records. Anything without a connector can be dropped in as a file, a URL or pasted text.
// learn(): fetch, parse, index and extract entities, per source, with permissions carried through
LLMs Are Missing Context — and Adding It Is Hard
- An LLM is not personalized to your business and is difficult to control
- It is probabilistic and does not store facts or data
- An LLM is only as good as its training data and inputs
- Each data source is unique; low retrieval quality degrades performance
- Building, maintaining, and scaling retrieval infrastructure can take months
- Connecting your data is only the first step, you also need to keep it secure
you · When does pricing v3 launch, and who owns the pricing page?
you · When does pricing v3 launch, and who owns the pricing page?
// the same question, with and without your context
One Memory, Built for Quality and Control
Text, tables, images, audio and video are read, transcribed and described as they arrive. One store holds searchable content, the relationships between people, things and facts, and a timeline of events — all queried together.
- Unparalleled Quality: Miriel's context engine uses intelligent indexing and retrieval tailored to each of your data sources
- Power With Only 2 Lines of Code: 1 line connects your data; the 2nd retrieves all relevant context to make intelligent queries—deploy your app in minutes
- Security and Control: Encrypt every interaction with your data and manage permissions at the token level, not just the file level
- Auditability and Source Attribution: Inspect your entire AI pipeline to see sources and understand every AI response—no black box
// entities and relationships extracted at ingest, settling into one graph
Answering questions is the start. Because Miriel knows the context, it can act on it.
Questions, with sources
Plain-language questions across every source, with inline citations to the passages and records they came from.
Messages and updates
With the right permissions: draft and post to email, Slack or Webex, send alerts, update records in the systems you connected.
Workflows that run themselves
On a schedule or when new data lands, bringing a person in only when something does not match.
Context-aware apps
Complete apps, written and deployed by Miriel's autonomous development system, Autodev.
The Next Generation of AI App Development Is Here
- By managing the context fed into an LLM and structuring the output, AI becomes a controllable runtime component
- Significantly reduce the complexity of your app while increasing functionality (1,000+ lines of code become 10’s of lines)
- Build AI applications with code you can understand and any engineer can maintain—avoid a brittle mess of AI generated code
- Test ideas, iterate faster, and confidently ship more projects
- Deliver new capabilities and an unforgettable experience to your users
// request
// structured output your app renders directly: AI as a runtime component
Many questions need no LLM at all.
Detection, counting, matching and time-window queries run directly on what Miriel has already recorded, at zero token cost. When a model is needed, Miriel sends it only a compact slice of context — 15–65× fewer tokens per question than handing it the raw sources.
COUNT(people through door) > COUNT(badge swipes) in the same time window → alert, with the video clip attached
In practice, one node keeps up with a busy site at once — for example, 30 cameras at 24 fps, plus audio feeds, door and badge access systems, other sensors and the site’s documents. Video only uses capacity while something is moving, so quiet periods cost almost nothing.
Miriel cloud
The fastest start. Fully managed.
Your cloud account
Miriel deployed in your own cloud environment, under your controls.
Fully local
All of Miriel, AI models included, inside your building.
Model-agnostic. The memory belongs to you, not to any model: the same memory serves every provider, and you can switch models mid-conversation with the context carried over.
GET STARTED
One memory, many ways in.
Use Miriel as a finished workspace, plug it into your AI tools through MCP, or build it into your own software through the API.
// no spam, just a beta waitlist